Assessment of thermokinetic behaviour of tannery sludge in slow pyrolysis process through artificial neural network

Arslan Khan; Imtiaz Ali; Salman Raza Naqvi; Hamad AlMohamadi; Muhammad Shahbaz; Arshid Mahmood Ali; Khurram Shahzad

doi:10.1016/j.chemosphere.2023.139226

Assessment of thermokinetic behaviour of tannery sludge in slow pyrolysis process through artificial neural network

Chemosphere. 2023 Oct:337:139226. doi: 10.1016/j.chemosphere.2023.139226. Epub 2023 Jun 26.

Authors

Arslan Khan¹, Imtiaz Ali², Salman Raza Naqvi³, Hamad AlMohamadi⁴, Muhammad Shahbaz⁵, Arshid Mahmood Ali⁶, Khurram Shahzad⁷

Affiliations

¹ Laboratory of Alternative Fuels & Sustainability, School of Chemical & Materials Engineering, National University of Sciences & Technology, 44000, H-12, Islamabad, Pakistan. Electronic address: akhan.phdscme@student.nust.edu.pk.
² Department of Chemical and Materials Engineering, King Abdulaziz University, Rabigh, 21911, Saudi Arabia. Electronic address: imtiaz_che@hotmail.com.
³ Laboratory of Alternative Fuels & Sustainability, School of Chemical & Materials Engineering, National University of Sciences & Technology, 44000, H-12, Islamabad, Pakistan. Electronic address: salman.raza@scme.nust.edu.pk.
⁴ Department of Chemical Engineering, Islamic University of Madinah, Madinah, Saudi Arabia.
⁵ Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar Foundation, P.O. Box 5825, Doha, Qatar.
⁶ Department of Chemical & Materials Engineering, King Abdulaziz University, Jeddah, Saudi Arabia.
⁷ Center of Excellence in Environmental Studies (CEES), King Abdulaziz University, Jeddah, Saudi Arabia.

PMID: 37379972
DOI: 10.1016/j.chemosphere.2023.139226

Abstract

In the leather industry, tannery sludge is produced in large volume. This study investigated the thermal degradation behavior of tannery sludge using thermogravimetric analysis (TGA). The experiments were carried out in an inert atmosphere using nitrogen gas at varied heating rates of 5, 10, 20, and 40 °C/min in the temperature range of 30-900 °C. For the kinetic parameters calculation, three different models, Friedman, Kissinger-Akahira-Sunose (KAS) and the Ozawa-Flynn-Wall (OFW), were employed. The average activation energy (E_a) obtained from Friedman, KAS, and the OFW methods were 130.9 kJ mol^-1, 143.14 kJ mol^-1, and 147.19 kJ mol^-1 respectively. Along with that, experiment of pyrolysis was accomplished in fixed bed reactor (FBR) at temperature of 400 °C. Biochar produced from FBR had a yield of about 71%. The analysis of gas chromatography-mass spectroscopy shows the different chemical compounds present in the bio-oil containing hydrocarbons (alkanes and alkenes), oxygen containing compounds (alcohols, aldehyde, ketones, esters carboxylic acids and the esters) and the nitrogen containing compounds. The kinetic assessment was complemented by distributed activation energy model (DAEM). In the pyrolysis of tannery sludge six pseudo-components were found to be involved. Furthermore, artificial neural network (ANN) was used to predict the activation energy from conversion, temperature, and the heating rate data. MLP-3-11-1 (Multilayer Perceptrons) described well the conversion behavior of tannery sludge pyrolysis.

Keywords: ANN; DAEM; Isoconversional; Tannery sludge pyrolysis; Thermodynamics.

MeSH terms

Biomass
Kinetics
Neural Networks, Computer
Nitrogen
Pyrolysis*
Sewage*
Thermogravimetry

Substances

Sewage
Nitrogen